基于BP神经网络控制器的风力发电机转速控制及仿真

Rotational Speed and Simulation of Wind Turbine Based on BP Neural Network Controller

在传统的风力发电机组中,机组相关的参数都是事先预设好的,风力发电机不会随着风速及风况的改变而进行主动调节适应。所以,在有些情况下,会出现机组调节速度过慢、超调量过大等问题。以BP神经网络为基础,使用S函数在Simulink中搭建神经网络PID仿真模型,从而实现使用BP-PID控制风力发电机转速的目的。最后通过对系统进行仿真,证明此控制方案可行,能够达到到预期效果。

The parameters were preset at traditional wind turbine,so the wind turbine system can＇t adjust itself with the changing wind speed. The big overshoot and the slow regulation speed in creases may happen under some circumstances. The Simulink simulation model of PID neural network using the S-function is presented based on BP neural network,then the rotational speed of wind turbine is controlled by using this BP-PID controller. Finally,the system simulation proves that the control method is feasible and can achieve the prospective effect.